Literature DB >> 33648067

Modeling and reduction of the gradient effect of a magnetic sensor for an aeromagnetic compensator.

Jian Ge1, Wenjie Wang1, Haobin Dong1, Huan Liu1, Xinglin Zhang1, Wang Luo1, Haiyang Zhang2, Jun Zhu2.   

Abstract

The traditional aeromagnetic compensation model does not consider the negative effects of the gradient of the geomagnetic background field. Especially in emergency aeromagnetic surveys, this gradient effect is obvious and can reduce the performance of magnetic compensation. To solve this problem, we propose a method of reducing the gradient effect of the magnetic sensor for aeromagnetic compensation. A magnetic gradient model of the Earth's background field is established for the aeromagnetic compensation, and the gradient effect is then suppressed using altitude data. An experimental platform was built, and flight tests were conducted. Comparison results show that the adoption of the proposed method increased the improvement ratio (IR) of our compensator on two flights from 20.4 and 21.3 to 25.9 and 26.0, with the growth rates of the IR, respectively, reaching 27% and 22%.

Year:  2021        PMID: 33648067     DOI: 10.1063/5.0028025

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  An Adaptive Alternating Magnetic Interference Suppression (AAIS) Algorithm for Geomagnetic Vector Measurement.

Authors:  Weilin Wang; Keyan Li; Zhihao Yang; Jun Chen; Linliang Miao; Jun Ouyang; Xiaofei Yang
Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

  1 in total

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